Evidence map›Paper›PMID 36165687›Full record

ArticleBioinformatics (Oxford, England)2022

Homologue series detection and management in LC-MS data with homologueDiscoverer.

Kevin Mildau, Justin J J van der Hooft, Mira Flasch, Benedikt Warth, Yasin El Abiead, Gunda Koellensperger, Jürgen Zanghellini, Christoph Büschl

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Pan-Metabolomics Repository Mapping of the Carnitine Landscape.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Environmental and Maternal Imprints on Infant Gut Metabolic Programming.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kevin MildauDepartment of Analytical Chemistry, University of Vienna, Vienna A-1090, Austria.ORCID 0000-0001-7776-0890
Justin J J van der HooftBioinformatics Group, Wageningen University, Wageningen 6708PB, the Netherlands.ORCID 0000-0002-9340-5511
Mira FlaschDepartment of Food Chemistry and Toxicology, University of Vienna, Vienna A-1090, Austria.
Benedikt WarthDepartment of Food Chemistry and Toxicology, University of Vienna, Vienna A-1090, Austria.
Yasin El AbieadDepartment of Analytical Chemistry, University of Vienna, Vienna A-1090, Austria.ORCID 0000-0003-4392-7706
Gunda KoellenspergerDepartment of Analytical Chemistry, University of Vienna, Vienna A-1090, Austria.
Jürgen ZanghelliniDepartment of Analytical Chemistry, University of Vienna, Vienna A-1090, Austria.ORCID 0000-0002-1964-2455
Christoph BüschlDepartment of Analytical Chemistry, University of Vienna, Vienna A-1090, Austria.ORCID 0000-0003-1729-9785

Funding

Austrian Science FundUniversity of Vienna
6 · The paper itself

Abstract

summaryUntargeted metabolomics data analysis is highly labour intensive and can be severely frustrated by both experimental noise and redundant features. Homologous polymer series is a particular case of features that can either represent large numbers of noise features or alternatively represent features of interest with large peak redundancy. Here, we present homologueDiscoverer, an R package that allows for the targeted and untargeted detection of homologue series as well as their evaluation and management using interactive plots and simple local database functionalities. AVAILABILITY AND IMPLEMENTATION: homologueDiscoverer is freely available at GitHub https://github.com/kevinmildau/homologueDiscoverer. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareTandem Mass SpectrometryChromatography, LiquidData AnalysisMetabolomics

Identifiers

PMID36165687
PMCPMC9665864

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.